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SKILL verified MIT Self-run

Offensive Lorawan Sub Ghz

skill-snailsploit-claude-red-offensive-lorawan-sub-ghz · by SnailSploit

LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and…

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Install

$ agentstack add skill-snailsploit-claude-red-offensive-lorawan-sub-ghz

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

LoRaWAN & Sub-GHz Attacks

LoRaWAN provides long-range low-bitrate communication for IoT — common in smart cities, asset tracking, and industrial telemetry. Outside LoRaWAN, the 433 / 868 / 915 MHz ISM bands host garage doors, doorbells, smart plugs, weather stations, and TPMS — most with weak or no crypto.

Quick Workflow

  1. Identify the band + modulation (LoRa CSS vs. simple OOK/FSK)
  2. Capture transmissions with appropriate hardware (HackRF / RTL-SDR / Flipper Zero)
  3. For LoRaWAN: capture join + uplinks; analyze key derivation
  4. For proprietary sub-GHz: demodulate, identify packet format, replay or craft

Hardware

| Tool | Range | Use | |---|---|---| | RTL-SDR | RX only, 24 MHz–1.7 GHz | Cheap reconnaissance | | HackRF One | RX/TX, 1 MHz–6 GHz | Full transceiver | | Flipper Zero | RX/TX, sub-GHz | Quick replays, fixed-code attacks | | LimeSDR / BladeRF | RX/TX, wider band | Higher fidelity for LoRaWAN | | YARD Stick One | TX-focused sub-GHz | Targeted replays | | LoRa-specific gateway (RAK / Heltec) | LoRaWAN dual-direction | Standards-compliant LoRaWAN testing |

LoRaWAN

LoRaWAN is a MAC layer over LoRa physical (chirp spread spectrum). Devices either:

  • OTAA (Over-the-Air Activation) — derive session keys at join
  • ABP (Activation By Personalization) — pre-flashed keys

OTAA Join Capture

# Capture LoRa packets with HackRF + Inspectrum
hackrf_transfer -r capture.iq -f 868000000 -s 1000000 -n 60000000
# Or LoRa-specific: rak_common_for_gateway

# Decode with PHY + MAC stack
git clone https://github.com/Lora-net/LoRaMac-node
# Or use ChirpStack as a sniffing gateway

The Join-Request and Join-Accept are encrypted with the device's AppKey. With AppKey (extracted from device firmware — see offensive-iot):

  • Decrypt Join-Accept → recover NwkSKey, AppSKey
  • Subsequent traffic decryption + injection

ABP — Pre-Flashed Keys

ABP devices have NwkSKey + AppSKey flashed at manufacture. Common flaws:

  • Same key across thousands of devices (vendor laziness)
  • No frame counter rollover protection → replay any historical uplink
  • DevAddr predictability (sequential allocation)
# If you have NwkSKey + AppSKey + DevAddr, decode/inject with lorawan-test-tools
git clone https://github.com/IoTsec/loraserver-attack-tools
python lora_inject.py --nwkskey  --appskey  --devaddr 

Frame Counter Replay

Older LoRaWAN 1.0.x doesn't enforce strict frame counter monotonicity in all stacks. Replay an uplink with a different timestamp → server processes as fresh.

Downlink Injection

If you control AppSKey + NwkSKey, you can inject downlinks (configuration changes, remote commands) to devices.

Sub-GHz Proprietary Protocols

Quick Capture + Replay (Flipper Zero / HackRF)

# RTL-SDR live monitor
rtl_433 -f 433.92M -A     # auto-decode many devices
gqrx                       # interactive spectrum analyzer

# Flipper Zero Sub-GHz menu: Read → identify modulation → capture → save
# Then replay from the saved file

# HackRF capture
hackrf_transfer -r garage.iq -f 433920000 -s 8000000 -n 80000000
# Inspectrum to visualize, identify OOK / FSK, decode bits

KeeLoq (Old Garage Doors, Some Cars)

KeeLoq uses a 32-bit block cipher with a manufacturer key. The manufacturer key was extracted publicly years ago for major brands. With it:

  • Decrypt rolling code → predict next valid code
  • Combined with capture-replay, take over the remote
# rolling-code-tools (research)
git clone https://github.com/AndrewMohawk/RollingPwn

Modern KeeLoq deployments (last 5 years) have rotated manufacturer keys, but legacy hardware (older garage doors, some industrial equipment) is in scope.

Fixed-Code Remotes

Many cheap garage openers, doorbells, and smart plugs use fixed codes — the same packet every time you press the button. Capture once, replay forever.

# Flipper Zero: Read → Save → Send (from saved file)
# Or with RFCat:
python -c "import rflib; ..."
# OR with HackRF:
hackrf_transfer -t replay.iq -f 433920000 -s 8000000

TPMS Spoofing

Tire-pressure monitoring sensors broadcast at 315/433 MHz with no authentication. Spoof low-pressure alerts:

# Capture legitimate TPMS
rtl_433 -f 315M -F json | grep TPMS

# Synthesize crafted alerts (custom modulator with HackRF)
# Useful for testing TPMS-aware vehicle systems or as denial-of-trust attack

Reconstruction of Unknown Protocols

# Universal Radio Hacker (URH) — visual reverse engineering
urh
# Load .iq capture, identify modulation visually,
# auto-detect symbols, decode bits, identify packet structure

URH walks you from raw RF to a parsed protocol description, even with no docs.

Engagement Cheatsheet

# 1. Identify band + modulation
rtl_433 -f  -A           # auto-detect known protocols
gqrx                           # spectrum view to find activity

# 2. For LoRaWAN
#    - Set up gateway (or HackRF + LoRa decoding)
#    - Capture joins + uplinks
#    - Extract keys from device firmware (see offensive-iot)

# 3. For proprietary sub-GHz
#    - Capture with HackRF / RTL-SDR
#    - Visualize / decode with Inspectrum or URH
#    - Replay or craft

# 4. Document modulation, frequency, packet format, replay viability

Detection

  • LoRaWAN networks have server-side anomaly detection (frame counter, signal strength, geographic) — varies widely by operator
  • Sub-GHz consumer products typically have no monitoring
  • TPMS / industrial equipment has minimal telemetry on RF anomalies

Reporting

  • Identify exact frequency, modulation, baud, and packet format per device
  • Distinguish capture-replay vs. crafted-frame attacks
  • Note crypto state (cleartext / weak-fixed-key / standards-compliant)
  • For LoRaWAN: identify AppKey / NwkSKey / AppSKey storage in firmware

Key References

  • rtl433 protocol database: github.com/merbanan/rtl433
  • Universal Radio Hacker: github.com/jopohl/urh
  • RollingPwn (KeeLoq research): github.com/AndrewMohawk/RollingPwn
  • LoRaWAN Specification: lora-alliance.org
  • Source: https://github.com/SnailSploit/offensive-checklist/blob/main/wireless.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.